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Qassem I. Mohaidat

Researcher at Yarmouk University

Publications -  19
Citations -  460

Qassem I. Mohaidat is an academic researcher from Yarmouk University. The author has contributed to research in topics: Laser-induced breakdown spectroscopy & Coercivity. The author has an hindex of 10, co-authored 19 publications receiving 355 citations. Previous affiliations of Qassem I. Mohaidat include Wayne State University & Al-Balqa` Applied University.

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Structural, magnetic, and Mössbauer spectroscopy of Cu substituted M-type hexaferrites

TL;DR: In this article, the structural parameters and ionic distribution over the crystallographic sites of hexaferrites were determined by refining the X-ray diffraction patterns and the magnetic phase transition temperature was found to decrease with the level of Cu substitution and the reduction of the superexchange interactions.
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Towards the clinical application of laser-induced breakdown spectroscopy for rapid pathogen diagnosis: the effect of mixed cultures and sample dilution on bacterial identification

TL;DR: In this article, the effect of the presence of a second bacterial species in the ablated specimen had on the identification of the majority species was investigated and a linear dependence of the total spectral power as a function of cell number was determined.
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Sensitive and specific discrimination of pathogenic and nonpathogenic Escherichia coli using Raman spectroscopy-a comparison of two multivariate analysis techniques.

TL;DR: It is suggested that spontaneous Raman spectroscopy with visible wavelength excitation is potentially useful for the rapid identification and classification of clinically-relevant bacteria at the strain level.
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Modification of the Magnetic Properties of Co2Y Hexaferrites by Divalent and Trivalent Metal Substitutions

TL;DR: In this article, the fabrication and characterization of Me2Y substituted hexaferrites, Ba2Me2Fe12-xTxO22 (Me = Co2+, Mg2+ and Cr2+, and T = Fe3+, and Ga3+).
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A comparison of multivariate analysis techniques and variable selection strategies in a laser-induced breakdown spectroscopy bacterial classification

TL;DR: The partial least squares discriminant analysis was more effective at distinguishing between highly similar spectra from closely related bacterial genera and may be the preferred multivariate technique in future species-level or strain-level classifications.